Impact of downstream obstructions on ogee weir efficiency: a regression analysis
Autor: | Shravan Kumar S. M., Chidanand Patil, Anamika Yadav, Lavanya Bukke, R. Laxmana Reddy, Praveen Kumar Sakare |
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Jazyk: | angličtina |
Rok vydání: | 2024 |
Předmět: | |
Zdroj: | Journal of Hydroinformatics, Vol 26, Iss 5, Pp 1217-1233 (2024) |
Druh dokumentu: | article |
ISSN: | 1464-7141 1465-1734 |
DOI: | 10.2166/hydro.2024.029 |
Popis: | This study delves into the impact of downstream obstruction angles on the discharge coefficient (Cd) over ogee weirs within open channel flows, a critical factor for accurate flow rate predictions in hydraulic engineering. Employing a series of detailed laboratory experiments, the influence of various obstruction angles on Cd was scrutinized applying a suite of regression analysis to develop predictive models. The analysis was enriched by considering hydraulic parameters such as flow rate, water level, and weir geometry. Despite the established importance of Cd in hydraulic designs the nuanced effects of downstream obstructions have received limited attention, highlighting a critical research gap. The findings highlight a strong correlation between obstruction angles and Cd, with developed regression models demonstrating notable predictive strength. Remarkably the models exhibited varying levels of accuracy, with the Random Forest regressor achieving an exceptionally low root mean square error (RMSE) of 0.005, indicating superior predictive performance. Conversely, traditional models like Decision tree and XG BOOST reflected higher RMSE values of 0.60, suggesting less predictive accuracy in this context. LASSO, Bayesian Ridge, and OMP regressors stood out with an RMSE of zero, denoting perfect predictions under the study's specific conditions. HIGHLIGHTS The study employed multilinear and polynomial regression techniques to predict variations in the coefficient of discharge for an ogee weir due to downstream obstructions at different angles. This approach provides a quantifiable understanding of how such obstructions impact hydraulic efficiency.; Results highlight the significant impact of obstructions on the discharge efficiency of ogee weirs, emphasizing the need for careful consideration of potential downstream barriers in the design and management of hydraulic structures to optimize performance and reduce flood risks.; The findings offer valuable insights for engineers and practitioners in the field, suggesting that regression models can serve as effective predictive tools for estimating the discharge coefficient under various scenarios, aiding in the design and operation of more efficient hydraulic systems.; |
Databáze: | Directory of Open Access Journals |
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